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Multiple imputation techniques: An application to Swiss value-added data

Author

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  • Jean-Marie Grether
  • Benjamin Tissot-Daguette

Abstract

We use imputation techniques and combine official data sources to address the various shortcomings affecting the analysis of value-added data at the level of production units in Switzerland. The new ad hoc databases that emerge include consistent information on value added and employment at the level of geographically localized pseudo-firms over the 2011-2015 period. Our preferred sample is obtained through multiple imputation techniques, includes 18'000 pseudo-firms per year, covers two-third of Swiss municipalities and is suitable to address productivity issues at the microeconomic level.

Suggested Citation

  • Jean-Marie Grether & Benjamin Tissot-Daguette, 2021. "Multiple imputation techniques: An application to Swiss value-added data," IRENE Working Papers 21-09, IRENE Institute of Economic Research.
  • Handle: RePEc:irn:wpaper:21-09
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    File URL: https://www5.unine.ch/RePEc/ftp/irn/pdfs/WP21-09.pdf
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    Cited by:

    1. Jean-Marie Grether & Benjamin Tissot-Daguette, 2021. "Zoom in, zoom out: A shift-share analysis of productivity in Switzerland based on micro data," IRENE Working Papers 21-10, IRENE Institute of Economic Research.

    More about this item

    Keywords

    Swiss firms; value-added; multiple imputation; spatial distribution.;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis

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